Triple

T1980770
Position Surface form Disambiguated ID Type / Status
Subject OPEC+ E43019 entity
Predicate hasKeyMember P14613 FINISHED
Object Congo E45036 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Congo | Statement: [OPEC+, hasKeyMember, Congo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo
Context triple: [OPEC+, hasKeyMember, Congo]
  • A. Congo chosen
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • B. Congo River
    The Congo River is Africa’s second-longest river and the world’s deepest, flowing through central Africa to the Atlantic Ocean and serving as a major waterway for transport, ecology, and regional economies.
  • C. Lualaba River
    The Lualaba River is the upper course of the Congo River in the Democratic Republic of the Congo, flowing through the southeast of the country and serving as a key waterway in Central Africa.
  • D. Gongola River
    The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
  • E. Cross River
    Cross River is a tributary stream in New York State that feeds the Cross River Reservoir and ultimately forms part of the New York City water supply system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65254bf48190bc12fb982dfde46c completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:37 p.m.